Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

13 June 2017

Papers citing "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier"

31 / 31 papers shown

Title
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 74 4 0 17 Feb 2025
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 119 0 0 11 Feb 2025
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 50 0 0 30 Jun 2024
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation Lei Duan Ziyang Jiang David Carlson 11 0 0 16 Jan 2024
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 29 35 0 28 Oct 2023
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 27 5 0 06 Aug 2023
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 19 0 0 25 Apr 2023
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation? Kenichiro Ando Mamoru Komachi T. Okumura Hiromasa Horiguchi Yuji Matsumoto 15 2 0 10 Mar 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals Ruiqing Ding Fang-Ning Rong Xiao Han Leye Wang 30 4 0 11 Feb 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift Miguel Rios A. Abu-Hanna OOD 27 1 0 01 Dec 2022
Unsupervised Probabilistic Models for Sequential Electronic Health Records Alan Kaplan John D Greene Vincent X. Liu Priyadip Ray 26 2 0 15 Apr 2022
Task-Synchronized Recurrent Neural Networks Mantas Lukovsevivcius Arnas Uselis AI4TS 30 2 0 11 Apr 2022
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series Sindhu Tipirneni Chandan K. Reddy AI4TS 15 104 0 29 Jul 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Michael Moor Nicolas Bennet Drago Plečko Max Horn Bastian Alexander Rieck N. Meinshausen Peter Buhlmann Karsten M. Borgwardt 26 6 0 12 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 21 154 0 07 Jul 2021
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data Chenxi Sun linda Qiao Moxian Song Hongyan Li AI4TS OOD 28 56 0 23 Oct 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 21 26 0 22 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 29 13 0 21 Oct 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 19 43 0 19 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 25 451 0 18 May 2020
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning M. Sendak M. C. Elish M. Gao Joseph D. Futoma W. Ratliff M. Nichols A. Bedoya S. Balu Cara O'Brien HAI 19 167 0 19 Nov 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 32 145 0 26 Sep 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics Iñigo Urteaga Tristan Bertin Theresa M. Hardy D. Albers Noémie Elhadad AI4TS AI4CE 16 5 0 27 Aug 2019
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Ye Xue Diego Klabjan Yuan Luo AI4TS 27 10 0 12 Aug 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 31 251 0 08 Jul 2019
Early detection of sepsis utilizing deep learning on electronic health record event sequences S. Lauritsen M. E. Kalør Emil Lund Kongsgaard K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 19 135 0 07 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 45 290 0 29 May 2019
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes Xubo Yue Raed Al Kontar 32 16 0 09 Mar 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 101 4,940 0 19 Jun 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016